scholarly journals IMPLEMENTATION OF CORRELATION ANALYSIS TASK IN THE MULTICHANNEL STRUCTURE

2006 ◽  
Vol 35 (3) ◽  
Author(s):  
Arūnas Žvironas ◽  
Egidijus Kazanavičius
Keyword(s):  
Signal Processing ◽  
Heterogeneous Systems ◽  
Large Data ◽  
Digital Signal ◽  
Optimal Number ◽  
Heterogeneous Architecture ◽  
Analysis Task ◽  
Data Flows ◽  
The Cost ◽  
Channel Structures

The digital signal processing in general case may be implemented on multi-channel structures. In most cases such structures have a heterogeneous architecture where the Kahn network and correlation are used to process the data flows. In this paper the methodology of the design of heterogeneous systems is presented. The methodology was tested on the design of the real devices controlling large data flows. Multi-channel structures were used to estimate the influence of the number of channels on the speed of data and the cost of the task, and to estimate an optimal number of channels.

Flexible Transceiver with Format-Transparent Digital Signal Processing for Ultra-large Data-rate Transmissions

2013 ◽  
Author(s):  
Qunbi Zhuge ◽  
Mohamed Morsy-Osman ◽  
Xian Xu ◽  
Mathieu Chagnon ◽  
Meng Qiu ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Large Data ◽  
Digital Signal ◽  
Data Rate

scholarly journals Review of Rounding Based Approximate Multiplier (ROBA) For Digital Signal Processing

2019 ◽  
Vol 7 (4) ◽  
pp. 04-07
Author(s):  
Monika Malviya ◽  
Prof. Pankaj Vyas
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Fundamental Idea ◽  
The Cost

The fundamental idea of adjusting put together estimated multiplier depends with respect to adjusting of numbers. This multiplier can be connected for both marked and unsigned numbers. In this paper contemplated an Rounding Based Approximate Multiplier that is fast yet vitality effective. The methodology is to round the operands to the closest example of two. Along these lines the computational concentrated piece of the augmentation is excluded improving rate and vitality utilization at the cost of a little mistake. This methodology is appropriate to both marked and unsigned augmentations. The productivity of the ROBA multiplier is assessed by contrasting its execution and those of some rough and precise multipliers utilizing distinctive plan parameters.

scholarly journals DESIGN AND IMPLEMENTATION OF A VHDL PROCESSOR FOR DCT BASED IMAGE COMPRESSION

2017 ◽  
Vol 24 (4) ◽  
pp. 393-406
Author(s):  
Md. Shabiul Islam ◽  
M.S. Bhuyan ◽  
M. Salim Beg ◽  
Masuri Othman
Keyword(s):  
Signal Processing ◽  
Image Compression ◽  
Digital Signal ◽  
Design Flow ◽  
System Specification ◽  
Design Environment ◽  
Levels Of Abstraction ◽  
Chip Area ◽  
Design And Implementation ◽  
The Cost

This paper describes the design and implementation of a VHDL processor meant for performing 2D-Discrete Cosine Transform (DCT) to use in image compression applications. The design flow starts from the system specification to implementation on silicon and the entire process is carried out using an advanced workstation based design environment for digital signal processing. The software allows the bit-true analysis to ensure that the designed VLSI processor satisfies the required specifications. The bit-true analysis is performed on all levels of abstraction (behavior, VHDL etc.). The motivation behind the work is smaller size chip area, faster processing, reducing the cost of the chip

scholarly journals Design Exploration of Machine Learning Data-Flows onto Heterogeneous Reconfigurable Hardware

2020 ◽  
Author(s):  
Westerley Oliveira ◽  
Michael Canesche ◽  
Lucas Reis ◽  
José Nacif ◽  
Ricardo Ferreira
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Heterogeneous Architecture ◽  
Relevant Research ◽  
Homogeneous Case ◽  
Data Flows ◽  
Machine Learning Applications ◽  
Placement And Routing ◽  
The Cost ◽  
Learning Data

Machine/Deep learning applications are currently the center of the attention of both industry and academia, turning these applications acceleration a very relevant research topic. Acceleration comes in different flavors, including parallelizing routines on a GPU, FPGA, or CGRA. In this work, we explore the placement and routing of Machine Learning applications dataflow graphs onto three heterogeneous CGRA architectures. We compare our results with the homogeneous case and with one of the state-of-the-art tools for placement and routing (P&R). Our algorithm executed, on average, 52% faster than Versatile Place&Routing (VPR) 8.1. Furthermore, a heterogeneous architecture reduces the cost without losing performance in 76% of the cases.

Method of estimation of hidden correlation of narrowband noise signals

2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
New Technology ◽  
Digital Signal ◽  
Measuring Instruments ◽  
Central Frequency ◽  
Pearson Criterion ◽  
Useful Signal ◽  
Band Limited ◽  
Narrowband Noise

The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal at the Central frequency and the sum of signals at mirror frequencies; when applying the proposed method for the analysis of the same signals, a strong hidden correlation is found. The proposed method is useful for researchers, engineers and metrologists engaged in digital signal processing, as well as developers of measuring instruments using a new technology for isolating a useful signal from noise – the method of mirror noise images.

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